Scholar
Kangning Cui
Google Scholar ID: vzCZaIwAAAAJ
Research Assistant Professor of Computer Science, Wake Forest University
Citations & Impact
Citations
339
H-index
12
i10-index
16
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published papers including 'Efficient Localization and Spatial Distribution Modeling of Canopy Palms Using UAV Imagery' accepted by IEEE Trans. Geosci. Remote Sens.; 'Toward Efficient UAV-Based Small Object Detection: A Lightweight Network with Enhanced Feature Fusion' accepted by Remote Sens.; 'Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos' and 'Blind Restoration of High-Resolution Ultrasound Video' both accepted by MICCAI 2025; 'Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms' accepted by IJCAI 2025.
Research Experience
- Research Assistant Professor at the Department of Computer Science, Wake Forest University since 08/2025, also serving as Robert J. Plemmons Fellow at Andrew Sabin Family Center for Environment and Sustainability; Founding President of SIAM Student Chapter at City University of Hong Kong, 09/2022-07/2024.
Education
- Ph.D. in Mathematics from City University of Hong Kong & Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, 09/2021-07/2025; Visiting DPhil Student in Biomedical Engineering at University of Oxford, 09/2024-03/2025, focusing on deep learning-based ultrasound video analysis; B.S. in Computing Mathematics from City University of Hong Kong, 09/2017-07/2021, First Class Honours, with a minor in Computer Science; Visiting B.S. in Applied Mathematics at Delft University of Technology, 02/2020-07/2020, studying Applied Mathematics.
Background
- Research interests include machine learning and deep learning in computer vision, with applications in medicine and remote sensing.
Co-authors